The agents are the computational representation of some specific social actors – individual people or animals, organisations such as firms or bodies such nationstates – capable of interacting, that is, they can pass informational messages to each other and act on the basis of what they learn from these messages. Thus, each agent in the model is an autonomous entity. (Salgado&Gilbert, 2013).
Characteristics of agents according to
Macal and North:
1. An agent is identifiable (discrete)
2. An agent is situated in an environment
with which it interacts
3. Agents are heterogeneous
4. An agent is goal-directed
5. an agent is autonomous and selfdirected (can function independently)
6. An agent is flexible, can learn, to adapt its behavior.
Characteristics of agents (Nigel Gilbert):
1. Agents perceive their environment
2. Agents have behavior: Motion, Communication (other agents) Action (interaction with environment)
3. Memory
4. Policy (rules that determine which behavior to perform)
Agent characteristic:
Framework Agent: attributes(static and dynamic) and behaviour.
Agent heterogeneity :can cause different states and value range because of attributes
Social:
Economic:
Biological:
Transportation:
Multi-Agent Systems:
Book: Introduction to the Modeling and Analysis of Complex Systems (Sayama).